Modelling the oceanic habitats of silky shark (Carcharhinus falciformis), implications for conservation and management

Citation
Lopez J, Alvarez-Berastegui D, Soto M, Murua H (2017) Modelling the oceanic habitats of silky shark (Carcharhinus falciformis), implications for conservation and management. In: IOTC - 13th Working Party on Ecosystems and Bycatch. IOTC-2017-WPEB13-34-Rev1, San Sebastián, Spain
Abstract

Investigating the relationship between abundance and environmental conditions is of primary importance for the correct management of marine species, especially highly migratory large pelagic species like silky sharks (Carcharhinus falciformis), a species that is currently ranked by the IUCN as near threatened or vulnerable, depending on the region. Tropical tuna purse seine vessels annually catch millions of tons of tuna worldwide. However, fishing may have implications on certain sensitive by-catch species, along with other potential impacts on the ecosystem. This work aims to provide the first insights into the environmental preferences of silky sharks by modelling their abundance from observer data with a set of biotic and abiotic oceanographic factors, spatial-temporal terms and fishing operation variables. This work considers Spanish observer data (IEO and AZTI database) from 2003 to 2015, and comprising ~7500 fishing sets for the Atlantic Ocean. Oceanographic data (SST, SST gradient, salinity, SSH, CHL, CHL gradient, oxygen, and current information such as speed, direction and kinetic energy) were downloaded and processed for the study period and area from the MyOcean-Copernicus EU consortium. Results provide information on the dynamics and hotspots of silky shark abundances as well as the most significant habitat preferences of the species. Models detected a significant relationship between seasonal upwelling events, mesoscale features and shark abundance and suggested strong interaction between productive systems and the spatial-temporal dynamics of sharks. The model also highlighted certain persistent areas of shark occurrence. This information could be used to assist t-RFMOs in the conservation and management of this vulnerable non-target species.